Keynote Speaker 1

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Dr. Rozmie Razif Othman 

School of Computer and Communication Engineering, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia


Research Area:

(1) Optimization Algorithm

(2) Machine Learning

(3) Software Testing


Topic: Sequence Covering Array (SCA): The evolution of State Transition Testing 


Abstract:

State transition testing is a type of black-box testing catering the need to test the behaviour of the system when changing its state. However, state transition testing often generates test cases to test all individual transitions (i.e. transition between one state to another state). With the advancement of current technology, testing of individual transition seems to be insufficient. Bugs or defects are usually triggered by the combination of more than one transitions. As a result, researchers extend the concept of state transition testing to n-switch state transition testing in order to cater needs for testing more than individual transition. With n-switch state transition testing, tester can generate test cases that cover all n-transition within the System Under Test (SUT). Although n-switch state transition testing able to generate test cases that can cover all n-transition, it could potentially omit the negative tests (i.e. testing the invalid transitions). To overcome this limitation, researchers come up with the idea of applying sequence covering array (SCA) in testing the state transition. The talk will cover the evolution of state transition testing and at the same time highlight the current state- of-the-art in SCA research. 



Keynote Speaker 2

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Prof. Daowen Qiu

School of Data and Computer Science, SYSU, China


Topic: A distributed semi-quantum computing model:A method of quantum-classical hybrid computing


Abstract:

It is still difficult to design a large-scale universal quantum computer nowadays. Even for some special quantum computers, their cost of manufacture is also very high. So, another way is to consider how to use small size quantum computers to solve some problems with essential advantage over classical computers.

In this talk, I would like to design a distributed semi-quantum algorithm for phase estimation which has a better time complexity even than the conventional quantum algorithm. The basic idea is to use distributed micro quantum computers to process respectively a small quantity of quantum states and then communicate with a given classical computer via classical channel to transport the results. Furthermore, we would mention other quantum-classical hybrid devices: quantum finite automata with classical states; semi-quantum key distribution.



Keynote Speaker 3

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Dr. NIRMALYA THAKUR 

University of Cincinnati, Cincinnati, Ohio, USA 


Research Interests:

Human-Computer Interaction, Data Science, Machine Learning, Artificial Intelligence, Internet of Things, Assistive Systems, Affective Computing and their applications in the context of solving real-world problems to improve the quality of life of users in a Smart Home with a specific focus on the elderly population. 

   

Topic: Applications of Distributed Artificial Intelligence for Enhancing User Experience in Smart Homes


Abstract:

To meet the increasing needs of the constantly increasing world’s population, advanced urban development policies equipped with sound infrastructures and modern technologies, such as Internet of Things (IoT)-based Smart Homes are necessary to create better living experiences in day to day lives of people. In these IoT-based living spaces, human behavior will involve working and collaborating with gadgets, technologies, robots and other smart agents. The user experience and effectiveness of human-technology partnerships with these systems depends on multimodal components of user interactions. These components include cognitive load, mental model, behavioral response, touch-based components, gesture-based interactions, emotional response, verbal and non-verbal components, just to name a few. Distributed Artificial Intelligence and its applications in IoT-based Smart Homes has the potential to address and augment these user interactions with an aim to enhance user experience in the context of different activities performed in the IoT environment. 

This talk aims to introduce the concept of Distributed Artificial Intelligence and discuss its applications in IoT-based living spaces to augment multimodal components of user interactions to enhance user experiences, improve the quality of life and foster human-technology partnerships in the future of Smart Homes. Several state of art works in these fields will be reviewed and discussed. The recent and ongoing researches in these fields at the University of Cincinnati will also be briefly outlined. The talk will conclude with presenting some of the open challenges in this field to the audience.  


 






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